SIA OpenIR  > 机器人学研究室
Identification of motor imagery parameters from EEG using SVM
Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Wang ZD(王志东); Li HY(李洪谊)
Department机器人学研究室
Conference NameInternational Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
Conference DateAugust 27-28, 2013
Conference PlaceHongkong
Source PublicationProceedings of the International Conference on Information Technology and Computer Application Engineering (ITCAE 2013)
PublisherCRC Press
Publication PlaceBoca Raton, FL
2013
Pages319–322
Indexed ByEI ; CPCI(ISTP)
EI Accession number20142117733002
WOS IDWOS:000340611200073
Contribution Rank1
ISBN978-1-138-00079-7
AbstractBrain Computer Interface (BCI) is a technology to control devices such as prosthetics, cars, robots and other control related applications using brain signal directly. Currently, EEG-based BCIs are mostly based on classification between different limb effectors, and only few commands can be generated directly. To increase the command number and control efficiency, both clench force parameters and clench speed parameters has been studied independently. In this paper, we try to decode speed and force hand movement imagination at the same time. Alpha band power of EEG signal is extracted as feature and then classified by Support Vector Machine (SVM). The primary result shows that speed and force motor imagery of the same hand is distinguishable, which may increase direct BCI control commands in the future.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13917
Collection机器人学研究室
Corresponding AuthorXu BL(徐保磊)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Automation and Information Engineering, Kunming University of Science and Technology, Kunming, China
4.School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China
5.Department of Advanced Robotics, Chiba Institute of Technology, Chiba, Japan
Recommended Citation
GB/T 7714
Xu BL,Fu YF,Shi G,et al. Identification of motor imagery parameters from EEG using SVM[C]. Boca Raton, FL:CRC Press,2013:319–322.
Files in This Item: Download All
File Name/Size DocType Version Access License
Identification of mo(1323KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xu BL(徐保磊)]'s Articles
[Fu YF(伏云发)]'s Articles
[Shi G(石刚)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu BL(徐保磊)]'s Articles
[Fu YF(伏云发)]'s Articles
[Shi G(石刚)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu BL(徐保磊)]'s Articles
[Fu YF(伏云发)]'s Articles
[Shi G(石刚)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Identification of motor imagery parameters from EEG using SVM.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.